Designing cloud-based knowledge management systems to improve organizational innovation
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Authors
Abstract
Organizations in transitional economies face significant challenges in implementing effective knowledge management systems owing to infrastructure limitations, post-conflict instability, and cultural barriers that prioritize tacit knowledge over formal documentation. This study addresses this critical gap by developing and evaluating a context-sensitive Cloud-based Knowledge Management System (CKMS) specifically designed for Iraqi firms operating in resource-constrained conditions. Employing a Design Science Research (DSR) methodology integrated with an explanatory sequential mixed-methods approach, we collected data from 350 knowledge workers across ten organizations and conducted structural equation modeling to examine the relationships between CKMS implementation, knowledge management capabilities, and organizational innovation outcomes. The findings demonstrate that CKMS significantly enhances all four knowledge management capabilities—acquisition, storage, sharing, and application—with particularly strong effects on knowledge storage (β = 0.72, p < 0.001) and knowledge application (β = 0.70, p < 0.001). These enhanced capabilities subsequently drive substantial improvements in organizational innovation, with process innovation showing the strongest impact (β = 0.56, p < 0.001), followed by product innovation (β = 0.42, p < 0.001) and business model innovation (β = 0.38, p < 0.001). Leadership support and organizational culture emerge as critical moderating factors that amplify the effectiveness of CKMS. This study extends Dynamic Capabilities and Resource-Based View theories by demonstrating how context-adapted technological solutions can function as strategic resources in transitional economies, providing a validated framework for digital transformation that prioritizes accessibility and cultural fit over technological sophistication, thereby offering actionable insights for organizations and policymakers operating in similar post-conflict settings.
Keywords:
Sustainable Development Goals (SDG)
- 8 - Decent work and economic growth
- 9 - Industry, Innovation, Technology and Infrastructure
References
Ahmed, A., & Al-Roubaie, A. (2012). Building a knowledge-based economy in the Muslim world: The critical role of innovation and technological learning. World Journal of Science, Technology and Sustainable Development, 9(2), 76–98. https://doi.org/10.1108/20425941211244270
Al-Omoush, K. S., Simón-Moya, V., & Sendra-García, J. (2020). The impact of social capital and collaborative knowledge creation on e-business proactiveness and organizational agility in responding to the COVID-19 crisis. Journal of Innovation & Knowledge, 5(4), 279–288. https://doi.org/10.1016/j.jik.2020.10.002
Alavi, M., & Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136. https://doi.org/10.2307/3250961
Centobelli, P., Cerchione, R., Del Vecchio, P., Oropallo, E., & Secundo, G. (2022). Blockchain technology for bridging trust, traceability and transparency in circular supply chain. Information & Management, 59(7), Article 103508. https://doi.org/10.1016/j.im.2021.103508
Cha, N., & Kim, E. (2024). Impact of the use of emerging technologies on organisational knowledge-creation capability by task complexity. Science, Technology and Society, 29(2), 224–241. https://doi.org/10.1177/09717218231201997
Chang, C. L.-H., & Lin, T.-C. (2015). The role of organizational culture in the knowledge management process. Journal of Knowledge Management, 19(3), 433–455. https://doi.org/10.1108/JKM-08-2014-0353
Chatterjee, S., Chaudhuri, R., Vrontis, D., & Jabeen, F. (2022). Digital transformation of organization using AI-CRM: From microfoundational perspective with leadership support. Journal of Business Research, 153, 46–58. https://doi.org/10.1016/j.jbusres.2022.08.020
Chen, C.-J., & Huang, J.-W. (2009). Strategic human resource practices and innovation performance—The mediating role of knowledge management capacity. Journal of Business Research, 62(1), 104–114. https://doi.org/10.1016/j.jbusres.2007.11.016
Cooper, C., Pereira, V., Vrontis, D., & Liu, Y. (2023). Extending the resource and knowledge based view: Insights from new contexts of analysis. Journal of Business Research, 156, Article 113523. https://doi.org/10.1016/j.jbusres.2022.113523
Cristofaro, M., Helfat, C. E., & Teece, D. J. (2025). Adapting, shaping, evolving: Refocusing on the dynamic capabilities–environment nexus. Academy of Management Collections, 4(1), 20–46. https://doi.org/10.5465/amc.2023.0016
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Fielding, R. T. (2000). Architectural styles and the design of network-based software architectures [Doctoral dissertation, University of California, Irvine].
Giampaoli, D., Ciambotti, M., & Bontis, N. (2017). Knowledge management, problem solving and performance in top Italian firms. Journal of Knowledge Management, 21(2), 355–375. https://doi.org/10.1108/JKM-03-2016-0113
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. https://doi.org/10.1080/07421222.2001.11045669
Hair, J. F. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Howes, T., Smith, M., & Good, G. (1997). Lightweight Directory Access Protocol (v3) (RFC 2251). Internet Engineering Task Force. https://doi.org/10.17487/RFC2251
Hussinki, H., Ritala, P., Vanhala, M., & Kianto, A. (2017). Intellectual capital, knowledge management practices and firm performance. Journal of Intellectual Capital, 18(4), 904–922. https://doi.org/10.1108/JIC-11-2016-0116
Inkinen, H. (2016). Review of empirical research on knowledge management practices and firm performance. Journal of Knowledge Management, 20(2), 230–257. https://doi.org/10.1108/JKM-09-2015-0336
International Monetary Fund. (2025). Iraq: Selected Issues (IMF Staff Country Reports No. 2025/184). Middle East and Central Asia Dept. https://doi.org/10.5089/9798229018425.002.A001
Kareem, H. M., Aziz, K. A., Maelah, R., Yunus, Y. M., Alsheikh, A., & Alsheikh, W. (2021). The influence of accounting information systems, knowledge management capabilities, and innovation on organizational performance in Iraqi SMEs. International Journal of Knowledge Management (IJKM), 17(2), 1–32. https://doi.org/10.4018/IJKM.2021040101
Khajeh-Hosseini, A., Greenwood, D. S., & Sommerville, I. (2010). Cloud migration: A case study of migrating an enterprise IT system to IaaS. W: 2010 IEEE 3rd International Conference on Cloud Computing (s. 450–457). IEEE. https://doi.org/10.1109/CLOUD.2010.37
Komakech, R., Ombati, T. O., Kikwatha, R., & Wainaina, M. G. (2025). Resource-based view theory and its applications in supply chain management: A systematic literature review. Management Science Letters, 15(4), 261–272. https://doi.org/10.5267/j.msl.2024.10.001
Kumar, P. (2023). Dynamic capabilities, digital transformation and vision of sustainability: A review. SSRN. https://doi.org/10.2139/ssrn.5149885
Liu, G.-S., Zheng, T.-T., Yi, H.-G., & Ding, T.-X. (2023). Cloud knowledge capability maturity model integration and evaluation method using a cloud knowledge management system. IEEE Engineering Management Review, 51(3), 93–108. https://doi.org/10.1109/EMR.2023.3276632
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—The business perspective. Decision Support Systems, 51(1), 176–189. https://doi.org/10.1016/j.dss.2010.12.006
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing (NIST Special Publication 800-145). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-145
Nijkamp, P., Kourtit, K., & Dentinho, T. P. (2025). Infrastructure reconstruction planning in post-conflict areas–a multidimensional resilience assessment for Iraq. Planning Practice & Research, 1–25. https://doi.org/10.1080/02697459.2024.2302302
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37. https://doi.org/10.1287/orsc.5.1.14
Nonaka, I., & Takeuchi, H. (2019). The wise company: How companies create continuous innovation. Oxford University Press.
Obeidat, B. Y., Al-Suradi, M. M., Masa’deh, R., & Tarhini, A. (2016). The impact of knowledge management on innovation: An empirical study on Jordanian consultancy firms. Management Research Review, 39(10), 1214–1238. https://doi.org/10.1108/MRR-09-2015-0214
Rathmell, A. (2005). Planning post-conflict reconstruction in Iraq: What can we learn? International Affairs, 81(5), 1013–1038. https://doi.org/10.1111/j.1468-2346.2005.00497.x
Rodriguez, M., & Trainor, K. (2016). A conceptual model of the drivers and outcomes of mobile CRM application adoption. Journal of Research in Interactive Marketing, 10(1), 67–84. https://doi.org/10.1108/JRIM-05-2014-0026
Sandhu, R. S., Coyne, E. J., Feinstein, H. L., & Youman, C. E. (1996). Role-based access control models. IEEE Computer, 29(2), 38–47. https://doi.org/10.1109/2.485845
Scuotto, V., Arrigo, E., Candelo, E., & Nicotra, M. (2020). Ambidextrous innovation orientation effected by the digital transformation: A quantitative research on fashion SMEs. Business Process Management Journal, 26(4), 848–866. https://doi.org/10.1108/BPMJ-03-2019-0135
Shetty, J. P., & Panda, R. (2020). A multidimensional framework for cloud adoption of SMEs in India. International Journal of Indian Culture and Business Management, 20(2), 210–233. https://doi.org/10.1504/IJICBM.2020.106292
Shujahat, M., Ali, B., Nawaz, F., Durst, S., & Kianto, A. (2018). Translating the impact of knowledge management into knowledge‐based innovation: The neglected and mediating role of knowledge‐worker satisfaction. Human Factors and Ergonomics in Manufacturing & Service Industries, 28(4), 200–212. https://doi.org/10.1002/hfm.20735
Soto-Acosta, P. (2020). COVID-19 pandemic: Shifting digital transformation to a high-speed gear. Information Systems Management, 37(4), 260–266. https://doi.org/10.1080/10580530.2020.1814461
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
Wang, L., & Liu, P. (2022). Real-time knowledge sharing in cloud environments: A driver for organizational innovation. Information Technology & Management, 23(1), 1–18. https://doi.org/10.1007/s10799-021-00329-1
Wang, Z., & Wang, N. (2012). Knowledge sharing, innovation and firm performance. Expert Systems with Applications, 39(10), 8899–8908. https://doi.org/10.1016/j.eswa.2012.02.017
Web Accessibility Initiative. (2008). Web Content Accessibility Guidelines (WCAG) 2.0. World Wide Web Consortium. https://www.w3.org/TR/WCAG20/
World Wide Web Consortium. (2018). Progressive Web Apps (PWAs). https://www.w3.org/TR/appmanifest/
Zack, M., McKeen, J., & Singh, S. (2009). Knowledge management and organizational performance: An exploratory analysis. Journal of Knowledge Management, 13(6), 392–409. https://doi.org/10.1108/13673270910997088
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